code: def test_distance_euclidean(
      data: np.ndarray, params: dict, expected: Union[float, dict, bool]
  ):
      out = distance_euclidean(a=data["a"], b=data["b"])
      print(out)
      assert round(out, 2) == expected, "Test failed."
  
imports: import pytest
  from pytest_lazyfixture import lazy_fixture
  from quantus.functions.loss_func import mse
  from quantus.functions.similarity_func import *
label_desc: Use image node_id 15 for calling a global function with example usage: test_distance_euclidean(data, params, expected) without return types